| 1 |
The 9 box grid: a pract**ioner’s guide |
| 2 |
What is time to hire? everything you need to know |
| 3 |
A tutorial on people analytics using r – clustering |
| 4 |
Reducing absenteeism in a mid-sized organization: a case study |
| 5 |
Organizational design: a complete guide |
| 6 |
Beyond hr kpıs: strategic metrics for organizational development |
| 7 |
The 21 metrics you need for strategic workforce development |
| 8 |
A beginner’s guide to machine learning for hr pract**ioners |
| 9 |
The ethical benchmarking of hr analytics |
| 10 |
45+ employee experience terms you have to know |
| 11 |
How to get hr fact-based? a case study |
| 12 |
Furloughing – different approaches and impacts around the world |
| 13 |
The hr business partner: a full guide |
| 14 |
Shedding light on knowledge hiding |
| 15 |
Case study: strategic workforce planning for rail ınfrastructure managers |
| 16 |
How to measure employee experience? |
| 17 |
How to plan for coronavirus: a case study |
| 18 |
The optimal hr to employee ratio |
| 19 |
21 hr data sources for analytics |
| 20 |
Succession planning: a full guide |
| 21 |
What we all would like to know: does leaders***p ınfluence business kpıs? |
| 22 |
Recruitment analytics: the 3 levels to optimize recruiting |
| 23 |
The 5 most pop****r recruitment efficiency metrics |
| 24 |
The hrıs analyst: a full guide |
| 25 |
Absenteeism rate explained | formula & meaning of absence rate |
| 26 |
A dynamic approach to measuring performance in hr analytics |
| 27 |
Text analysis in hr: a practical example |
| 28 |
2019 was great. 2020 will be awesome! |
| 29 |
The state of digital hr 2019 |
| 30 |
The hr scorecard: a full guide |
| 31 |
How to successfully select and ımplement an hrıs | human resources ınformation system |
| 32 |
Quick win: 3 powerpoint essentials for any (analytics) consultant or analyst |
| 33 |
7 benefits of working together with academia in people analytics |
| 34 |
The how of organizational change & the value of time |
| 35 |
Understanding different approaches to organizational network analysis |
| 36 |
A journey towards bare-bones hr analytics ınfrastructure |
| 37 |
Addressing aı bias: diversity-by-design |
| 38 |
7 hr data sets for people analytics |
| 39 |
Learning from practice: how we calculated the added value of an employee wellness intervention |
| 40 |
How to ensure the validity of people analytics efforts? |
| 41 |
What is needed from hr technology to facilitate the workforce of one? |
| 42 |
People analytics success benefits from an employee value proposition |
| 43 |
Top 9 hr analytics tools |
| 44 |
11 hr analytics courses online |
| 45 |
How to best approach hr strategy ımplementation |
| 46 |
Keeping it simple: driving hr analytics value in 1 week |
| 47 |
What is an hrıs? an hr pract**ioner’s guide |
| 48 |
Utility analysis revised: the roı of better hr selection methods |
| 49 |
How to calculate employee turnover rate |
| 50 |
3 guidelines for useful predictive analytics |
| 51 |
15 hr analytics case studies with business ımpact |
| 52 |
Why your hr data doesn’t have to be 100% accurate |
| 53 |
Why predictive people analytics is a mistake |
| 54 |
Why we decided to acquire digitalhrtech |
| 55 |
5 ways our work will change within 10 years |
| 56 |
Aıhr live – episode 6 with ryne sherman |
| 57 |
Raising the bar in benchmarking |
| 58 |
How to maximize the value of competency analytics |
| 59 |
Strategic workforce planning in 3-2-1 |
| 60 |
Aıhr live – episode 5 with mark van dongen |
| 61 |
The hr analytics management cycle |
| 62 |
People analytics, is the honeymoon over? |
| 63 |
A guide to strategic workforce planning |
| 64 |
ınterview with littal shemer haim, people analytics consultant |
| 65 |
5 advanced data analysis techniques applied to people analytics |
| 66 |
Tearing down the second wall in hr |
| 67 |
Aıhr live – episode 4 with tako zoutman |
| 68 |
Human resources kpıs: an ın-depth explanation with metrics & examples |
| 69 |
Amit mohindra: an ınterview |
| 70 |
How can we get rid of ona on next year’s hr trends list? |
| 71 |
What people analytics can learn from dynamic network theory |
| 72 |
The hrbp as people analytics evangelists – are they ready – no! can they be – yes! |
| 73 |
People analytics at bosch |
| 74 |
What is hr analytics? |
| 75 |
Aıhr live – episode 3 with dave millner “the hr curator” |
| 76 |
Hr analytics case study: hr factors that influenced financial performance in a bank |
| 77 |
Looking back & our predictions and plans for 2019 |
| 78 |
How smart hr system design leads to high-quality data: 5 tips |
| 79 |
Result trumps recipe: bake it ‘til you make it |
| 80 |
People analytics for smes |
| 81 |
People analytics: ethical considerations |
| 82 |
A beginner’s guide to continuous ımprovement in hr |
| 83 |
Aıhr lıve – episode 2 ınterview with vlad sterngold from booking.com |
| 84 |
Top 5 trending hr analytics articles of october 2018 |
| 85 |
A different kind of dashboard |
| 86 |
Boosting employee retention with predictive analytics |
| 87 |
Why we didn’t celebrate our 2-year anniversary (yet) |
| 88 |
Where should we draw the line in terms of ethics? |
| 89 |
Learning from practice: utility analysis for training |
| 90 |
Why are people analytics results lagging? |
| 91 |
Advanced analytics for agile organization design: 5 principles |
| 92 |
Top 5 trending hr analytics articles of september 2018 |
| 93 |
Diversity in tech across geography: the pipeline opportunity |
| 94 |
What excites you about ona? |
| 95 |
Aıhr lıve – episode 1 ınterview with hannah spell |
| 96 |
5 tips for creating a fact-based culture in hr |
| 97 |
Hr analytics case study: why expats quit – and how to retain them |
| 98 |
Top 5 trending hr analytics articles of august 2018 |
| 99 |
Evidence-based approach to diversity & ınclusion |
| 100 |
People analytics case study: how hr made customers happy |
| 101 |
People analytics from a millennial’s perspective |
| 102 |
Hr analytics data privacy made fun |
| 103 |
Top 5 trending hr analytics articles of july 2018 |
| 104 |
[vıdeo] benefits of people analytics for the employee |
| 105 |
Measuring employee engagement the right way |
| 106 |
People-centric analytics: how can employees benefit from data analysis? |
| 107 |
Top 5 trending hr analytics articles of june 2018 |
| 108 |
Why people analytics isn’t delivering on its promised value |
| 109 |
Ethics and workforce data: ıs legislation enough? |
| 110 |
Top 5 trending hr analytics articles of may 2018 |
| 111 |
How continuous improvement can help optimize hr processes |
| 112 |
What is the role of the hr analyst? |
| 113 |
5 essential workforce planning tools for any hr professional |
| 114 |
10 trends in workforce analytics for 2019 |
| 115 |
Top 5 trending hr analytics articles of april 2018 |
| 116 |
The hr value chain: an essential tool for adding value to hr |
| 117 |
Why the gdpr requires you to take action for your employees and your business |
| 118 |
Job satisfaction in engagement surveys – have we been measuring it wrong? |
| 119 |
How personality tests can help build productive teams |
| 120 |
4 foundations of data-driven hr |
| 121 |
Top 5 trending hr analytics articles of march 2018 |
| 122 |
“we should take a big step back and identify the business issue” – ınterview alec levenson |
| 123 |
[video] full ınterview with david green |
| 124 |
Why hr analytics isn’t top sport! |
| 125 |
Why organizations and their managers aren’t aligned – and what it means for people analytics |
| 126 |
[vıdeo] the difference between people analytics and hr analytics |
| 127 |
Top 5 trending hr analytics articles of february 2018 |
| 128 |
Six sigma applied to hr analytics: an ıntroduction |
| 129 |
[vıdeo] what will hr analytics look like in 5 years? |
| 130 |
How to create a skills matrix for success |
| 131 |
Segmentation: divide and conquer |
| 132 |
Top 5 trending hr analytics articles of january 2018 |
| 133 |
[vıdeo] how will data capturing evolve in people analytics? |
| 134 |
ıntroduction to cultural analytics, its implications and use cases |
| 135 |
Case study: reducing gender ınequality using analytics |
| 136 |
Applying survival analysis to reduce employee turnover: a practical case |
| 137 |
Data story-telling – the human art of evidence based hr |
| 138 |
[vıdeo] what are you most excited about in people analytics? |
| 139 |
Top 5 trending hr analytics articles of december 2017 |
| 140 |
Happy holidays from team aıhr! |
| 141 |
How to measure human resource costs |
| 142 |
Top 5 trending hr analytics articles of november 2017 |
| 143 |
Creating value with fact-based hr |
| 144 |
How to leverage the bradford factor to get a grip on employee absence |
| 145 |
The ‘data-driven time machine’ of people analytics |
| 146 |
How to make hr analytics simple and human |
| 147 |
Top 5 trending hr analytics articles of october 2017 |
| 148 |
5 questions that will optimize your talent’s lifecycle |
| 149 |
Hr analytics & statistics: an ıntroduction |
| 150 |
Top 5 trending hr analytics articles of september 2017 |
| 151 |
9 ways the gdpr will ımpact hr data & analytics |
| 152 |
The two white lies in every analytics story |
| 153 |
ınnovating hr analytics from within – lyndon sundmark |
| 154 |
Top 5 trending hr analytics articles of august 2017 |
| 155 |
People analytics, what’s in it for the employees? |
| 156 |
Big data, business intelligence, and hr analytics: how are they related? |
| 157 |
How to link engagement to business performance in 3 steps |
| 158 |
7 reasons why you should ınvest in the professional development of employees |
| 159 |
Top 5 trending hr analytics articles of july 2017 |
| 160 |
How to rethink change with the three percent rule |
| 161 |
Top 5 trending hr analytics articles of june 2017 |
| 162 |
How to get more out of your survey using an ıtem tracker |
| 163 |
Trust: the achilles heel of people analytics |
| 164 |
Candidate experience – what is it and how to survey it? |
| 165 |
Taking hr analytics from micro to macro |
| 166 |
Top 5 trending hr analytics articles of may 2017 |
| 167 |
ınclusion and employee diversity: here are the numbers |
| 168 |
Top 5 trending hr analytics articles of april 2017 |
| 169 |
How hr analytics boost productivity and profitability |
| 170 |
5 examples of how hr analytics can help to ımprove bottom line performance |
| 171 |
Shocking ınsights on your ‘high-performing’ employees |
| 172 |
What is an hr dashboard & hr report? examples, visuals and a how-to |
| 173 |
Hr analytics ımplementation: a step-by-step approach |
| 174 |
Evaluating training effectiveness using hr analytics: an example |
| 175 |
Where to start with people analytics |
| 176 |
Employee engagement analytics: how to do it and add value |
| 177 |
The great promise of people analytics |
| 178 |
The psychology of people analytics |
| 179 |
How natural language processing can revolutionize human resources |
| 180 |
Top 5 trending hr analytics articles of january 2017 |
| 181 |
How to prepare hr business partners for analytics |
| 182 |
How technology helps healthcare hr overcome challenges |
| 183 |
The state of people analytics: still under construction? an overview |
| 184 |
6-step guide to cleaning your hr analytics data |
| 185 |
Why mature hr analytics demands the right foundation |
| 186 |
Top 5 people analytics stories of 2016 |
| 187 |
How 11 factors ınfluence customer service performance |
| 188 |
Top 5 trending hr analytics articles of december 2016 |
| 189 |
ınfographic: how to start with people analytics? |
| 190 |
Delivering people analytics in local government in austere times |
| 191 |
The people analytics cycle |
| 192 |
Top 5 trending hr analytics articles of november 2016 |
| 193 |
Network analytics on hr data: a practical perspective and 3 case studies |
| 194 |
Where’s the analytics in hr analytics tools? |
| 195 |
Case study: how we determined optimal staffing levels |
| 196 |
Video q&a with 5 hr analytics leaders |
| 197 |
How to get maximum value from employee net promoter score |
| 198 |
Top 5 trending hr analytics articles of october 2016 |
| 199 |
The myth of the full-time data scientist |
| 200 |
Analytics in hr introduces: third party news & articles |
| 201 |
How to prepare yourself for hr analytics |
| 202 |
Hr on the move |
| 203 |
Why you produce hr dashboards no one will use |
| 204 |
Hr analytics ınterview: patrick coolen |
| 205 |
5 reasons why hr analytics projects fail |
| 206 |
Top 5 trending hr analytics articles of september 2016 |
| 207 |
9 (hr) analytics terms you should know part 2 |
| 208 |
Analytics techniques: the regression analysis |
| 209 |
Reducing workplace accident using people analytics |
| 210 |
How blind hiring ıncreases workplace diversity |
| 211 |
A tutorial on people analytics using r – employee churn |
| 212 |
Top 5 trending hr analytics articles of august 2016 |
| 213 |
Behaviour & performance analysis |
| 214 |
5 hypotheses that will reduce absenteeism |
| 215 |
Hr analytics faq: a top 10 |
| 216 |
How to deal with analysis paralysis |
| 217 |
What drives employee turnover? part 2 |
| 218 |
How expensive is staff turnover? a business case |
| 219 |
Case study: key drivers of retail sales performance |
| 220 |
The 5 most trending hr analytics articles of july 2016 |
| 221 |
Absenteeism: a 3-step analytics approach |
| 222 |
Pokémon go: what managers should learn from it |
| 223 |
4 misconceptions about (hr) analytics |
| 224 |
Discover your organisation’s hr analytics maturity level |
| 225 |
9 hr analytics terms you should know |
| 226 |
Analytics, a new way for hr to have ımpact? |
| 227 |
Predictive analytics in human resources: tutorial and 7 case studies |
| 228 |
Why you should always start with a question when applying human resources analytics |
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